Wildfire probability estimated from recent climate and fine fuels across the big sagebrush region
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Wildfire probability estimated from recent climate and fine fuels across the big sagebrush region ; volume:20 ; number:1 ; day:28 ; month:2 ; year:2024 ; pages:1-20 ; date:12.2024
Fire ecology ; 20, Heft 1 (28.2.2024), 1-20, 12.2024
- Creator
-
Holdrege, Martin C.
Schlaepfer, Daniel R.
Palmquist, Kyle A.
Crist, Michele
Doherty, Kevin E.
Lauenroth, William K.
Remington, Thomas E.
Riley, Karin
Short, Karen C.
Tull, John C.
Wiechman, Lief A.
Bradford, John B.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s42408-024-00252-4
- URN
-
urn:nbn:de:101:1-2405061043091.919790938498
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:58 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Holdrege, Martin C.
- Schlaepfer, Daniel R.
- Palmquist, Kyle A.
- Crist, Michele
- Doherty, Kevin E.
- Lauenroth, William K.
- Remington, Thomas E.
- Riley, Karin
- Short, Karen C.
- Tull, John C.
- Wiechman, Lief A.
- Bradford, John B.
- SpringerLink (Online service)
Other Objects (12)
Estimating WUI exposure probability to a nearby wildfire
Large language models reveal big disparities in current wildfire research
Integrating probability and big non-probability samples data to produce Official Statistics
Spatial enhancement due to statistical learning tracks the estimated spatial probability
High- and low-temperature pyrolysis profiles describe volatile organic compound emissions from western US wildfire fuels
High- and low-temperature pyrolysis profiles describe volatile organic compound emissions from western US wildfire fuels
Ladder fuels rather than canopy volumes consistently predict wildfire severity even in extreme topographic-weather conditions
Improving Wildfire Probability Modeling by Integrating Dynamic-Step Weather Variables over Northwestern Sichuan, China
Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing
SARS-CoV-2 airborne infection probability estimated by using indoor carbon dioxide
High-resolution wildfire simulations reveal complexity of climate change impacts on projected burn probability for Southern California
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
Estimating WUI exposure probability to a nearby wildfire
Large language models reveal big disparities in current wildfire research
Integrating probability and big non-probability samples data to produce Official Statistics
Spatial enhancement due to statistical learning tracks the estimated spatial probability
High- and low-temperature pyrolysis profiles describe volatile organic compound emissions from western US wildfire fuels
High- and low-temperature pyrolysis profiles describe volatile organic compound emissions from western US wildfire fuels
Ladder fuels rather than canopy volumes consistently predict wildfire severity even in extreme topographic-weather conditions
Improving Wildfire Probability Modeling by Integrating Dynamic-Step Weather Variables over Northwestern Sichuan, China
Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing
SARS-CoV-2 airborne infection probability estimated by using indoor carbon dioxide
High-resolution wildfire simulations reveal complexity of climate change impacts on projected burn probability for Southern California
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
Estimating WUI exposure probability to a nearby wildfire
Large language models reveal big disparities in current wildfire research
Integrating probability and big non-probability samples data to produce Official Statistics
Spatial enhancement due to statistical learning tracks the estimated spatial probability
High- and low-temperature pyrolysis profiles describe volatile organic compound emissions from western US wildfire fuels
High- and low-temperature pyrolysis profiles describe volatile organic compound emissions from western US wildfire fuels
Ladder fuels rather than canopy volumes consistently predict wildfire severity even in extreme topographic-weather conditions
Improving Wildfire Probability Modeling by Integrating Dynamic-Step Weather Variables over Northwestern Sichuan, China
Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing
SARS-CoV-2 airborne infection probability estimated by using indoor carbon dioxide
High-resolution wildfire simulations reveal complexity of climate change impacts on projected burn probability for Southern California